Triple
T18356943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Drive My Car |
E439819
|
entity |
| Predicate | mixType |
P130790
|
FINISHED |
| Object | stereo |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: stereo | Statement: [Drive My Car, mixType, stereo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mixType Context triple: [Drive My Car, mixType, stereo]
-
A.
mixedAt
Indicates that one entity has been combined or blended together with another entity (or entities), typically to form a mixture at a specific time or place.
-
B.
mixtape
Indicates that one entity has created or compiled a curated collection of audio tracks, typically recorded or assembled together as a single compilation.
-
C.
mixingStyle
Indicates how two or more elements are combined or blended together in a particular manner or technique.
-
D.
commercialMix
Indicates a relationship where different commercial elements, such as products, services, or marketing components, are combined or integrated into a single offering or context.
-
E.
mixingMethod
Indicates the technique or process used to combine multiple components or substances into a uniform mixture.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d776cc8190937d7e1d42a36a3b |
completed | April 19, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a1bda48190a9cd1db436d4be62 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:37 a.m.